Getting Started with Rules/User Interface in Intelligent Advisor (IA) |
- Describe a Policy Modeling Project and main Intelligent Advisor components
- Describe options for running and testing a policy model
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Attributes and Attribute Text |
- Define variable attributes and use them in logical comparisons
- Demonstrate the appropriate use of value lists in attributes
- Construct Boolean and non-Boolean attributes from difficult source material
- Define appropriate attribute phrasing and understand reparsing scenarios
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Writing Rules and negations |
- Identify the various components of a rule and verify how rules link together
- Identify the appropriate styles to use when writing rules
- Validate and check rules
- Explain how to avoid using multiple conclusions
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Conclusions and Conditions |
- Identify conclusions and conditions in source material
- Use tables for Rules using Word and Excel understanding which to use
- Analyze networks of rules, including attribute levels
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Grouping Operators and Intermediate Attributes |
- Explain the correct uses of AND and OR in the same rule, using a grouping operator
- Write more complex rules in Microsoft Word using grouping words or phrases
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Comparisons and calculations in rules |
- Compare one attribute to another attribute as a condition of a rule
- Use functions in the rule conclusion
- Use complex expressions to perform calculations in a rule
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Entities and Relationships |
- Explain entities, entity-level attributes and entity relationships
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When to use Entities and Reasoning with Entities |
- Model entity rules from source material
- Identify reasoning from one entity to another
- Create rules that use relationships/infer entities
- Use built-in entity functions in rules
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Testing Rules |
- Create and save basic test cases
- Test entities/relationships and interviews in the debugger
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Creating Interviews |
- Create a basic interview
- Control the interactions on and between screens
- Create interview screens that collect entity instances and entity-level data
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Enhancing Interviews |
- Explain the purpose and use of goals and checkpoints in an interview
- Use controls for creating Interview screens including conditional logic
- Describe how Policy models can be used in other languages (limitations, coverage, etc.)
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Data Validation |
- Prevent or warn a user from entering invalid data or combinations of data based on inferred logic
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Explanations, Audit Reports and Forms |
- Differentiate explanations and audit reports, and where they should be used
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Intelligent Advisor Hub Deployments, Users, and Security |
- Administer users, deployments and projects on the Intelligent Advisor Hub
- Deploy and update projects on the Hub from the Policy Modeler
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Data Mapping, Integration, Connector Framework and mobile |
- Set up data mappings for a B2C Service interview (input/output)
- Automate decisions with a web service
- Explain the features of Intelligent Advisor mobile applications and related APIs
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Embedding an Interview in Customer Portal, Agent Desktop and Chat |
- Embed an interview in Customer Portal, Agent Desktop and BUI, and Chat
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Collaboration |
- Understand collaboration features and viewing/rollback of changes on team projects
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Official Information |
https://education.oracle.com/oracle-intelligent-advisor-2022-implementation-professional/pexam_1Z0-1035-22 |